该文提出一种与文本无关的自适应说话人确认方法。
In this paper, a novel adaptive text independent speaker verification method is proposed.
说话人确认系统的性能往往是在真实世界的环境受到损害。
The performance of speaker verification systems is often compromised under real-world environments.
支持向量机用作说话人确认模型来训练目标说话人和背景说话人的语音数据。
The support vector machine based speaker verification models are trained on the enrolled speaker and the background model.
说话人识别是最自然的生物特征身份鉴定方式，可分为说话人辨认和说话人确认。
Speaker recognition is the most natural biometric identification technique. It can be divided into two sub-fields: speaker identification and speaker verification.
本文提出了一种可提高噪声环境下的说话人确认识别率的语音MFCC参数高频加权方法。
This paper proposes a high frequency weighted MFCC extraction method to improve the performance of speaker verification in noise conditions.
多编码环境下的说话人确认常常遇到训练和测试语音编码不匹配问题，导致性能显著下降。
The code mismatch problem in speaker verification systems in multi-code environment always causes significant performance deterioration.
因此本文着重研究了与文本无关的说话人确认系统，从参数级、模型级、系统级三个方面加强了系统的信道鲁棒性。
Therefore this thesis studies on text-independent speaker verification and channel robustness methods on feature level, model level and system level.
对于45个说话人、非同期录音、用长度为6的随机数字串做确认，得到了错误拒绝率0．0％和错误接受率0．0098％的识别结果。
Using the strings of 6 random digits, the 0.0% false reject rate and 0.0098% false accept rate are resulted for 45 speakers.
为了更好地将区分式分类方法应用于说话者确认系统中，构建序列核支持向量机已成为说话人识别领域的研究热点与趋势。
To apply the discriminative classifier in the speaker recognition, the building sequence kernel support vector machine(SVM) becomes the trend in the field.
其中与说话人相关的信息可以辨认说话人是谁或者确认此说话人是否为所声言的说话人。
By the information of speaker, who is the speaker can be identified or whether the speaker is the claimed one can be verified.
实验结果表明，该方法较好地解决了不同说话人的确认阈值的确定问题。
A method for the designing of verification threshold is presented and the experiment results of the effectiveness of the method are presented in this paper.
说话人识别就是从说话人的一段语音中提取出说话人的个性特征，通过对这些个性特征的分析和识别，从而达到对说话人进行辨认或者确认的目的。
Speaker recognition is the task that is used to identify or verify who is speaking by analyzing and recognizing specific information extracted from speakers 'speech.
说话人识别就是从说话人的一段语音中提取出说话人的个性特征，通过对这些个性特征的分析和识别，从而达到对说话人进行辨认或者确认的目的。
Speaker recognition is the task that is used to identify or verify who is speaking by analyzing and recognizing specific information extracted from speakers 'speech.
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